Resumen
Many companies do not realize the importance of computer back up for decision-making, despite the existence of data mining tools and techniques. The poor application of these techniques and tools can be related to the difficulty of choosing the most appropriate data mining tools and techniques for each application type. The choice of a data mining technique depends on the business problem to be solved and the data characteristics available for analysis, while the choice of a data mining tool, otherwise, depends on several parameters such as: tool general characteristics, data base connection, computational performance criteria, functionality criteria, using criteria, etc. In this paper, the parameters are established in the choice for data mining technique and tool, according to several authors' suggestions. The results achieved are also shown through the application of two data mining techniques.